Experimental Indoor Measurements in a Conference Classroom at 26 GHz Frequency Band
Bibliographic record
Abstract
This paper presents the coverage measurements and path loss results of a 5G indoor signal within a conference classroom (Sala FIUN) located in the laboratories of the Department of Electrical and Electronic Engineering of the National University of Colombia. It was used an experimental setup for the measurement of path loss at millimeter wave frequencies which using mainly Sivers Semiconductors transceiver equipment and Ettus Research USRPs. The setup integrates several hardware and software components to carry out the measurements. The 26 GHz frequency was chosen for the experimental test and then the results of indoor Line of Sight (LoS) were compared with the reference models 3GPP TR 38.901, METIS and NYU finding close values between the experimental part and the reference models. These results are expected to be important to review the coverage behavior of a commercial 5G network in Colombia at the 26 GHz band millimeter wave frequency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".